Evidence map›Paper›PMID 40642168›Full record

ArticleFrontiers in nutrition2025

Pesticide exposure and cardiovascular health in non-CVD mortality population: novel evidence from NHANES 2007-2018 using Life's Essential 8.

Jiang He, Hexilin Wang, Xia Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jiang HeDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China.
Hexilin WangDepartment of Cardiology, The First Shenyang Hospital of China Medical University, Shenyang, Liaoning, China.
Xia LiDepartment of Cardiology, The First Shenyang Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While pesticide exposure has become a global public health concern, its impact on cardiovascular health among non-cardiovascular mortality populations remains understudied. Methods: Based on NHANES 2007-2018 data ( Results: 2,4-D herbicides showed significant negative correlations with multiple LE8 components, particularly in BMI scores (β = -1.441, 95% CI: -2.158, -0.725) and diet scores (β = -1.241, 95% CI: -1.825, -0.658). Organophosphate metabolites demonstrated positive associations with smoking and diet scores. Dose-response analysis revealed an inverted U-shaped relationship between 2,4-D and LE8 scores, while organophosphates showed consistent positive correlations. WQS regression indicated that glyphosate contributed most significantly to LE8 scores (58%), while organophosphate diethyl metabolites dominated CMI effects (62%). Inflammatory markers (CRP and SII) played crucial roles in mediating pesticide exposure's effects on cardiovascular health. Conclusion: This study provides the first systematic evidence of association patterns between pesticide exposure and cardiovascular health in the general population, revealing differential impacts across pesticide types. These findings provide important scientific basis for understanding pesticide exposure's health effects and developing targeted prevention strategies.

Indexed as

cardiometabolic indexcardiovascular healthdose-response relationshipinflammatory markersLife's Essential 8mixed exposureNHANESpesticide exposure

Identifiers

PMID40642168
PMCPMC12243112

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.